A YOLOv8n variant reports 92.7% mAP on shrimp disease detection with 2.1M parameters, but the small private dataset and single-run results make the gains unverified.
In situ sea cucu mber detection based on deep learning approach[C] //2018 OCEANS MTS/IEEE Kobe Techno -Oceans (OTO)
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Lightweight Shrimp Disease Detection Research Based on YOLOv8n
A YOLOv8n variant reports 92.7% mAP on shrimp disease detection with 2.1M parameters, but the small private dataset and single-run results make the gains unverified.